code: def __init__(self, cp_file, layer):
      (
          model,
          cfg,
          task,
      ) = fairseq.checkpoint_utils.load_model_ensemble_and_task(
          [cp_file]
      )
      model = model[0]
      model.eval()
      model.cuda()
      self.model = model
      self.task = task
      self.layer = layer
  
file_path: fairseq/examples/wav2vec/unsupervised/scripts/wav2vec_extract_features.py
imports: import argparse
  import os
  import os.path
  import tqdm
  import torch
  import torch.nn.functional
  from shutil import copyfile
  from npy_append_array import NpyAppendArray
  import fairseq
  import soundfile
label_desc: Use image node_id 1 to create a new Wav2VecFeatureReader object from inherited base classes: object with example: obj = Wav2VecFeatureReader(cp_file, layer)